カテゴリ: 論文誌(論文単位)グループ名: 【D】産業応用部門（英文）発行日: 2022/03/01タイトル(英語): Linear Matrix Inequality Based Data-driven Disturbance Observer Design: Application to a Non-Minimum Phase Motion Stage著者名: Xiaoke Wang (The University of Tokyo), Wataru Ohnishi (The University of Tokyo), Takafumi Koseki (The University of Tokyo)著者名(英語): Xiaoke Wang (The University of Tokyo), Wataru Ohnishi (The University of Tokyo), Takafumi Koseki (The University of Tokyo)キーワード: disturbance observer，frequency response data，convex optimization，linear matrix inequality要約(英語): Disturbance observers are widely used in the industrial field to mitigate the influence of disturbance, and the trial-and-error method is commonly employed in their design. Herein, a fully parameterized bandwidth-maximized disturbance observer problem was formulated into a frequency response data-based convex optimization problem by transforming the original constraints into their convex form. Furthermore, a comparison with the trial-and-error method verified the feasibility of the proposed method.本誌: IEEJ Journal of Industry Applications Vol.11 No.2 （2022） Special Issue on “Motion Control and its Related Technologies”本誌掲載ページ: 334-340 p原稿種別: 論文／英語電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejjia/11/2/11_21005770/_article/-char/ja/
